31 citations · 32 across the 15 of their papers we have counts for
8 papers · 1 filter
4D-RaDiff: Latent Point Diffusion for 4D Radar Point Cloud Generation
Jimmie Kwok, Holger Caesar, Andras Palffy
Automotive radar has shown promising developments in environment perception due to its cost-effectiveness and robustness in adverse weather conditions. However, the limited availab…
ShelfOcc: Native 3D Supervision beyond LiDAR for Vision-Based Occupancy Estimation
Simon Boeder, Fabian Gigengack, Simon Roesler +2
Recent progress in self- and weakly supervised occupancy estimation has largely relied on 2D projection or rendering-based supervision, which suffers from geometric inconsistencies…
Material-informed Gaussian Splatting for 3D World Reconstruction in a Digital Twin
Andy Huynh, João Malheiro Silva, Holger Caesar +1
3D reconstruction for Digital Twins often relies on LiDAR-based methods, which provide accurate geometry but lack the semantics and textures naturally captured by cameras. Traditio…
MobileOcc: A Human-Aware Semantic Occupancy Dataset for Mobile Robots
Junseo Kim, Guido Dumont, Xinyu Gao +3
Dense 3D semantic occupancy perception is critical for mobile robots operating in pedestrian-rich environments, yet it remains underexplored compared to its application in autonomo…
BikeScenes: LiDAR Semantic Segmentation for Bicycles
Denniz Goren, Holger Caesar
The vulnerability of cyclists, exacerbated by the rising popularity of faster e-bikes, motivates adapting automotive perception technologies for bicycle safety. We use our multi-se…
Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation
Chun-Peng Chang, Chen-Yu Wang, Julian Schmidt +2
Recent advancements in video generation have substantially improved visual quality and temporal coherence, making these models increasingly appealing for applications such as auton…
ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving
Kai Chen, Ruiyuan Gao, Lanqing Hong +11
In this paper, we present details of the 1st W-CODA workshop, held in conjunction with the ECCV 2024. W-CODA aims to explore next-generation solutions for autonomous driving corner…
LeAP: Consistent multi-domain 3D labeling using Foundation Models
Simon Gebraad, Andras Palffy, Holger Caesar
Availability of datasets is a strong driver for research on 3D semantic understanding, and whilst obtaining unlabeled 3D point cloud data is straightforward, manually annotating th…